@article {1385, title = {Phytochemical Profiling and Chemical Marker Compounds Identification in Helichrysum caespititium: A Chemometrics and 2D Gas Chromatography Time of Flight Mass Spectrometry (GCxGC-TOF-MS) Perspective}, journal = {Pharmacognosy Journal}, volume = {13}, year = {2021}, month = {March 2021}, pages = {486-494}, type = {Research Article}, chapter = {486}, abstract = {

Introduction: Helichrysum caespititium is a medicinal plant indigenous to South Africa. Hitherto, only 2 compounds- caespititin and 2-methyl-4-[2{\textquoteright},4{\textquoteright},6{\textquoteright}-trihydroxy-3{\textquoteright}-(2-methylpropanoyl)-phenyl] but-2-enyl acetate have been reported from this species. Phytochemical profiling of the plant and identification of chemical markers are limited. Objectives: Determining phytochemical profile of H. caespititium and identifying the major marker compounds in its extracts. Methods: A two-dimensional gas chromatography coupled with time-of-flight mass spectrometry (GCxGC-TOF-MS) was used to analyze H. caespititium extracts (acetone, methanol, and dichloromethane). The marker compounds from the generated phytochemical fingerprints were identified using Column plots and chemometrics orthogonal partial least squares discriminant analysis (OPLS-DA). Polar acetone, methanol, and non-polar dichloromethane extracts were analyzed separately. Results and Discussions: A total of 135 (12 from acetone, 13 from methanol, and 110 from dichloromethane extracts) compounds were identified in H. caespititium. An OPLSDA score plot with R2 = 0.81 grouped the polar compounds into 2 clusters as phenolic and non-phenolic compounds, while a contribution plot from the score plot then nominated benzene[(methoxymethoxy)]methyl, 4-methyl-2,4-bis(p-hydroxyphenyl)penet- 1-ene, isoeugenol, and 3 4-dihydroxymandelic acid as marker compounds in the polar extracts. In a second plot with R2 = 0.67, the corresponding contribution plot accentuated 2-methyl-5- (fur-3-yl) pent-3-en-2-ol, 3,5-dimethyl-4-heptanone, 1,2-benzenedicarboxylic acid, dihexyl-1-(4- methylphenyl)-5(2-dimethyl aminothenyl)-1H-tetrazole, and 3,5-dimethyl-4-heptanone as the marker compounds in the dichloromethane extract. Conclusion: This study recommends the use of the marker compounds as quality standard of raw materials and commercial products containing extracts or other forms of the South African H. caespititium.

}, keywords = {Chemical markers, Chemometrics, GCxGC-TOF-MS, Helichrysum caespititium, Phytochemical profiling}, doi = {10.5530/pj.2021.13.61}, author = {Kokoette Bassey and Patience Mamabolo and Mmamosheledi Mothibe and Freddy Muganza} } @article {1129, title = {Chemometric Analysis of Arbutin Derivatives from Paederia foetida and Vitis vinifera with Fourier Transform Infrared (FTIR)}, journal = {Pharmacognosy Journal,}, volume = {12}, year = {2020}, month = {May 2020}, pages = {436-441}, type = {Original Article}, chapter = {436}, abstract = {

Introduction: Paederia foetida and Vitis vinifera were reported to have antioxidant activities due to their polyphenolic phytochemical contents. Arbutin may be included as active compounds in the plants. The chemometric analysis is used to identify the similarity of functional groups found in arbutin and that are in Paederia foetida and Vitis vinifera. Materials and Method: The ethanol extracts of Paderia foetida and Vitis vinifera were subjected to compound partition and characterization. Then a liquid-liquid partition is carried out using n-hexan and water solvents, followed by ethyl acetate and water partitions. This procedure is carried out continuously until the top layer is cleared. Partitioned compounds were analyzed using FTIR spectroscopy to identify functional groups. Furthermore, it was analyzed using the chemometric method (Principal Component Analysis and Cluster Analysis). Results: From the results of FTIR spectroscopy, functional groups in Paederia foetida and Vitis vinifera were identical to functional groups found in arbutin. PCA Analysis was achieved using principal component accounting an eigenvelue about 99,3 \% of the total variance. Conclusions: CA analysis showed that compounds in Paederia foetida (Euclidean distance 0.537) and Vitis Vinifera (Euclidean distance 1.157) may be similar with arbutin.

}, keywords = {Arbutin, Chemometrics, Paederia foetida, PCA, Vitis vinifera}, doi = {10.5530/pj.2020.12.67}, author = {Yusnita Rifai and Mukhriani and Yulia Y Djabir and Gemini Alam} } @article {1054, title = {Antioxidant Activity, HPTLC Fingerprint and Discriminant Analysis of Plantago major Leaves from Diverse Origins in Indonesia}, journal = {Pharmacognosy Journal}, volume = {11}, year = {2019}, month = {November 2019}, pages = {1483-1489}, type = {Original Article}, chapter = {1483}, abstract = {

Introduction: Plantago major L. (Plantaginaceae) is a perennial herb having contribution to the folk medicine all around the world, including Indonesia with wide geographical distribution. Plant materials origin is one factor that significantly influences the quality of herbal medicines. Materials and Methods: In this paper, High-Performance Thin Layer Chromatography (HPTLC) method using pattern-oriented approach has been employed to evaluate the quality of Plantago major leaves collected from seven origins in Indonesia. To differentiate the antioxidant capacities of those plant materials, the crude extracts were tested using 1,1-diphenyl-2-picrylhydrazyl (DPPH), total phenolics, and total flavonoids assay methods. Results: The results showed that radical scavenging activity, total phenolics, and total flavonoids of plant material from seven origins were significantly different. Moreover, HPTLC fingerprints analyzed with chemometrics showed an ability to discriminate the leaves samples from various origins as well as detect chemicals responsible for discrimination. Two models using principal component analysis (PCA) and partial least squares (PLS-DA) were built in chemometrics test. The PCA model was able to describe the studied samples by using four principal components with a value of explained variance of 95\%, whereas PLS-DA model accurately classified the leaves samples with prediction ability of 100\%. In the PCA, loading plot of the first PC showed that peaks number 10 and 12 are the most important peaks for clustering of the samples. Conclusions: Plantago major collected from different origins revealed different radical scavenging activity and concentration of total phenolics as well as total flavonoids. HPTLC fingerprints coupled with chemometrics analysis can be used as an alternative to marker-oriented method for the quality control of Plantago major.

}, keywords = {Chemometrics, Flavonoids, Herbal medicines, Pattern-oriented, Phenolics, PLSDA}, doi = {10.5530/pj.2019.11.229}, author = {Kartini Kartini and Christina Avanti and Chutima Phechkrajang and Omboon Vallisuta} }